Sentence examples for shape benchmark from inspiring English sources

Experiments are conducted using our Engineering Shape Benchmark database to evaluate the proposed combination rule.

As for ASR task, McGill articulated shape benchmark [19] is adopted to test the effectiveness of our approach in Section 6.

The descriptors for the models are constructed by following the procedure shown as block 1 and 2 in Figure 2. We applied the BWs method for ASR task on McGill Shape Benchmark (MSB) [19].

The main contributions of this paper are the development of a new engineering shape benchmark and an understanding of the effectiveness of different shape representations for classes of engineering parts.

Experimental results on two standard 3D shape benchmarks demonstrate the much better performance of the proposed approach in comparison with state-of-the-art methods.

To accurately evaluate the proposed methodology, an enlarged building shape database which extends previous well-known shape benchmarks was implemented as well as a model retrieval system supporting inputs from 2D sketches and 3D models.

Extensive experiments are carried out on three standard 3D shape benchmarks to demonstrate the much better performance of the proposed clustering approach in comparison with recent state-of-the-art methods.

Our experiments on two standard 3D shape benchmarks show that the proposed framework not only outperforms the state-of-the-art methods in classification accuracy, but also provides attractive scalability in terms of computational efficiency.

In our experiments, we fully study the characteristics of BCF, show that BCF achieves the state-of-the-art performance on several well-known shape benchmarks, and can be applied to real image classification problem.

Simulation of static deflections, approximated by a linear combination of six mode shapes, are benchmarked toward state-of-the-art models and validated with digital holography microscope measurements of a fabricated CMUT device.

The reliability-coverage curve shows similar shape on the benchmark set and the whole human transmembrane proteome (Fig.  3, blue and magenta), therefore it is plausible that the predicted topologies in HTP database may be as accurate as in the benchmark set, i.e. more than 60%% of the predicted topologies' accuracies may be over 98%%.